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Impact of R&D and AI Investments on Economic Growth and Credit Rating

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  • Davit Gondauri
  • Ekaterine Mikautadze

Abstract

The research and development (R&D) phase is essential for fostering innovation and aligns with long-term strategies in both public and private sectors. This study addresses two primary research questions: (1) assessing the relationship between R&D investments and GDP through regression analysis, and (2) estimating the economic value added (EVA) that Georgia must generate to progress from a BB to a BBB credit rating. Using World Bank data from 2014-2022, this analysis found that increasing R&D, with an emphasis on AI, by 30-35% has a measurable impact on GDP. Regression results reveal a coefficient of 7.02%, indicating a 10% increase in R&D leads to a 0.70% GDP rise, with an 81.1% determination coefficient and a strong 90.1% correlation. Georgia's EVA model was calculated to determine the additional value needed for a BBB rating, comparing indicators from Greece, Hungary, India, and Kazakhstan as benchmarks. Key economic indicators considered were nominal GDP, GDP per capita, real GDP growth, and fiscal indicators (government balance/GDP, debt/GDP). The EVA model projects that to achieve a BBB rating within nine years, Georgia requires $61.7 billion in investments. Utilizing EVA and comprehensive economic indicators will support informed decision-making and enhance the analysis of Georgia's economic trajectory.

Suggested Citation

  • Davit Gondauri & Ekaterine Mikautadze, 2024. "Impact of R&D and AI Investments on Economic Growth and Credit Rating," Papers 2411.07817, arXiv.org.
    • Handle: RePEc:arx:papers:2411.07817
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    1. Besiroglu, Tamay & Emery-Xu, Nicholas & Thompson, Neil, 2024. "Economic impacts of AI-augmented R&D," Research Policy, Elsevier, vol. 53(7).
    2. Brouwer, Erik & Kleinknecht, Alfred, 1997. "Measuring the unmeasurable: a country's non-R&D expenditure on product and service innovation," Research Policy, Elsevier, vol. 25(8), pages 1235-1242, January.
    3. Hendry, David F., 2000. "On detectable and non-detectable structural change," Structural Change and Economic Dynamics, Elsevier, vol. 11(1-2), pages 45-65, July.
    4. Aksnes, Dag W. & Schneider, Jesper W. & Gunnarsson, Magnus, 2012. "Ranking national research systems by citation indicators. A comparative analysis using whole and fractionalised counting methods," Journal of Informetrics, Elsevier, vol. 6(1), pages 36-43.
    5. Ulrich Schmoch & Torben Schubert & Dorothea Jansen & Richard Heidler & Regina von Görtz, 2010. "How to use indicators to measure scientific performance: a balanced approach," Research Evaluation, Oxford University Press, vol. 19(1), pages 2-18, March.
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